Inverse distance weighted interpolation, IDW (inverse distance weight) [1], can also be called inverse distance multiplication method. It is a weighted average interpolation method, which can be used for precise or smooth interpolation. The square parameter controls how the weight coefficient decreases with the distance from a grid node. For a larger power, the nearest data points are given a higher weight share, and for a smaller power, the weight is evenly distributed to each data point.

Filename	Size	Update
IDW\IDW.m	843	2010-06-10
IDW\基于插值的雨量预报评价模型.pdf	161521	2009-06-29
IDW\空间插值方法汇总.txt	5171	2010-06-10
IDW	0	2020-10-10

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